--- title: dashboards keywords: fastai sidebar: home_sidebar summary: "Supplies dashboards to investigate datasets and training results. Dashboards are defined as classes, to show the dashboard use the .show() function on an dashboard instance." description: "Supplies dashboards to investigate datasets and training results. Dashboards are defined as classes, to show the dashboard use the .show() function on an dashboard instance." nb_path: "nbs/dashboards.ipynb" ---
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Test data setup

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import icedata
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test_data_dir = icedata.fridge.load_data()
test_class_map = icedata.fridge.class_map()
test_parser = icedata.fridge.parser(test_data_dir, test_class_map)
test_train_records, test_valid_records = test_parser.parse()
test_valid_record_dataset = BboxRecordDataset(test_valid_records, test_class_map)
test_train_record_dataset = BboxRecordDataset(test_train_records, test_class_map)
test_record_dataset_no_class_map = BboxRecordDataset(test_train_records)

INFO     - Autofixing records | icevision.parsers.parser:parse:126














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class IcevisionGallery[source]
IcevisionGallery(dataset, sort_cols=None, sort_desciptor=None, width=500, height=500) :: Gallery




Helper class that provides a standard way to create an ABC using
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IcevisionGallery(test_valid_record_dataset, height=500).show()



    

































  

















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class ObjectDetectionDatasetOverview[source]
ObjectDetectionDatasetOverview(dataset:GenericDataset, height:int=500, width:int=500) :: DatasetOverview




Helper class that provides a standard way to create an ABC using
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test_object_detection_overview = ObjectDetectionDatasetOverview(test_valid_record_dataset, width=1500, height=900)
test_object_detection_overview.show()



    

































  

















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class ObjectDetectionDatasetComparison[source]
ObjectDetectionDatasetComparison(datasets:List[GenericDataset], height:int=500, width:int=500) :: DatasetComparison




Helper class that provides a standard way to create an ABC using
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test_object_detection_comparison = ObjectDetectionDatasetComparison([test_valid_record_dataset, test_train_record_dataset], width=1700, height=700)
test_object_detection_comparison.show()



    

































  

















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class ObjectDetectionDatasetGenerator[source]
ObjectDetectionDatasetGenerator(dataset, width=500, height=500) :: DatasetGenerator




Helper class that provides a standard way to create an ABC using
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test_dataset_generator = ObjectDetectionDatasetGenerator(test_train_record_dataset, height=1000, width=1500)
test_dataset_generator.show()



    

































  

















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